SAGE Journals Online
Advertisement
Sign In to gain access to subscriptions and/or personal tools.

 

Advanced Search

Journal Navigation

Journal Home

Subscriptions

Archive

Contact Us

Table of Contents

Advertisement

Sign In to gain access to subscriptions and/or personal tools.
American Journal of Hospice and Palliative Medicine®
This Article
Right arrow Full Text (PDF)
Right arrow References
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to Saved Citations
Right arrow Download to citation manager
Right arrowRequest Permissions
Right arrow Request Reprints
Right arrow Add to My Marked Citations
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Abicht-Swensen, L. M.
Right arrow Articles by Debner, L. K.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Abicht-Swensen, L. M.
Right arrow Articles by Debner, L. K.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati   Add to Twitter  
What's this?

The Minimum Data Set 2.0: A functional assessment to predict mortality in nursing home residents

Lisa M. Abicht-Swensen, MHA

Hospice of the Twin Cities, Inc., Minneapolis, Minnesota

Linda K. Debner, RN, MA

Provider Relations, Hospice of the Twin Cities Inc., Minneapolis, Minnesota

Measures of functional assessment, such as the Karnofsky Scale, the Modified ADL Scale, and the Descriptive Scale, have been used to predict appropriateness for hospice care. A tool is needed to assess functional status across all treatment settings, including acute care, long-term care, and hospice. The objective of this paper is to determine whether the Minimum Data Set, when utilized in conjunction with physical assessment tools to determine prognosis, is accurate in predicting short-term mortality in nursing home residents.

The paper has been designed as a retrospective study of residents in 24 Minnesota nursing homes who were referred to a hospice program. The study included 199 patients from 30 to 107 years of age.

Functional variables, as triggered by the Minimum Data Set, have a direct correlation to patient mortality within three months of the documented observation of the triggered variable, and are the main outcome measure.

Of a total of 199 patients, 147 patients (74 percent) died within 15 days of a documented significant decline in the Minimum Data Set in areas of cognitive function, communication, activities of daily living, incontinence, and nutrition. Age, gender, diagnosis, and significant medical data received from the nursing home staff at the time of referral to hospice were applied to the Karnofsky Scale, the Modified ADL Scale, the Descriptive Scale, and the Minimum Data Set to determine if a resident assessment protocol (RAP) would be triggered by these data. The data were then analyzed to determine whether there existed a correlation between a significant change, as documented on the Minimum Data Set, and subsequent death of the patient. If there existed a correlation, the data were further studied to determine consistency in the categories of change that might demonstrate predictors of short-term mortality in nursing home residents.

A decline in functional status, as documented on the Minimum Data Set 2.0 in the areas of cognitive functioning, communication, activities of daily living, incontinence, and nutrition, are strong predictors of short-term mortality in nursing home residents, independent of age, gender, and diagnosis.

American Journal of Hospice and Palliative Medicine®, Vol. 16, No. 3, 527-532 (1999)
DOI: 10.1177/104990919901600308


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati   Add to Twitter Twitter    What's this?


This article has been cited by other articles:


Home page
Eur J Public HealthHome page
J. S. W. Lee, P. P. H. Chau, E. Hui, F. Chan, and J. Woo
Survival prediction in nursing home residents using the Minimum Data Set subscales: ADL Self-Performance Hierarchy, Cognitive Performance and the Changes in Health, End-stage disease and Symptoms and Signs scales
Eur J Public Health, June 1, 2009; 19(3): 308 - 312.
[Abstract] [Full Text] [PDF]


Home page
JAOA: Journal of the American Osteopathic AssociationHome page
T. L. Marx
Working With Hospice Teams to Improve Pain Management in Nursing Homes
J Am Osteopath Assoc, June 1, 2007; 107(suppl_4): ES22 - ES27.
[Abstract] [Full Text] [PDF]


Home page
Journals of Gerontology Series A: Biological Sciences and Medical SciencesHome page
D. Porock, D. Parker Oliver, S. Zweig, M. Rantz, D. Mehr, R. Madsen, and G. Petroski
Predicting Death in the Nursing Home: Development and Validation of the 6-Month Minimum Data Set Mortality Risk Index
J. Gerontol. A Biol. Sci. Med. Sci., April 1, 2005; 60(4): 491 - 498.
[Abstract] [Full Text] [PDF]


Home page
JAOA: Journal of the American Osteopathic AssociationHome page
T. L. Marx
Partnering With Hospice to Improve Pain Management in the Nursing Home Setting
J Am Osteopath Assoc, March 1, 2005; 105(3_suppl): 22S - 26S.
[Abstract] [Full Text] [PDF]



Advertisement